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Meaningful and minimally distressing: Trans adolescents’ perspectives on sensitive research interviews

Qualitative research on sensitive topics (e.g. abuse, mental health difficulties, discrimination) is needed to understand lived experiences of complex issues. However, this type of research raises concerns about potential adverse effects on participants, especially with younger participants and those from marginalized populations. In this study, we conducted a reflexive thematic analysis of 20 trans adolescents’ (14–18 years of age) experiences of participating in research about their stigma experiences.

Working together for perioperative excellence in pediatric perioperative research

Pediatric perioperative care can be described as a journey, starting when surgery is first contemplated, all the way through to a patient’s full recovery. For the child and their family, this journey spans from the time at home pre-operatively through a hospital stay and finishes with at-home recovery.

Investigating associations between birth order and autism diagnostic phenotypes

Birth order effects have been linked to variability in intelligence, educational attainment and sexual orientation. First- and later-born children have been linked to an increased likelihood of an Autism Spectrum Disorder (ASD) diagnosis, with a smaller body of evidence implicating decreases in cognitive functioning with increased birth order.

The role of Kingella kingae in pre-school aged children with bone and joint infections

The Pre-school Osteoarticular Infection (POI) study aimed to describe the burden of disease, epidemiology, microbiology and treatment of acute osteoarticular infections (OAI) and the role of Kingella kingae in these infections.

High risk of early sub-therapeutic penicillin concentrations after intramuscular benzathine penicillin G injections in Ethiopian children and adults with rheumatic heart disease

Intramuscular benzathine penicillin G (BPG) injections are a cornerstone of secondary prophylaxis to prevent acute rheumatic fever (ARF) and rheumatic heart disease (RHD). Uncertainties regarding inter-ethnic and preparation variability, and target exposure profiles of BPG injection are key knowledge gaps for RHD control.

Can positive mindsets be protective against stress and isolation experienced during the covid-19 pandemic? A mixed methods approach to understanding emotional health and wellbeing needs of perinatal women

The aim of this study was to explore the relationship between emotional health and wellbeing and support needs of perinatal women during the COVID-19 pandemic, and to understand their experiences and need for support. This is a potentially vulnerable group and a critical developmental phase for women and infants.

Impact of Coronavirus Disease 2019 Public Health Measures on Detections of Influenza and Respiratory Syncytial Virus in Children During the 2020 Australian Winter

Public health measures targeting coronavirus disease 2019 have potential to impact transmission of other respiratory viruses. We found 98.0% and 99.4% reductions in respiratory syncytial virus and influenza detections, respectively, in Western Australian children through winter 2020 despite schools reopening. Border closures have likely been important in limiting external introductions.

Mapping malaria by sharing spatial information between incidence and prevalence data sets

As malaria incidence decreases and more countries move towards elimination, maps of malaria risk in low-prevalence areas are increasingly needed. For low-burden areas, disaggregation regression models have been developed to estimate risk at high spatial resolution from routine surveillance reports aggregated by administrative unit polygons.

Longitudinal Evaluation of the Stability of Hand Function in Rett Syndrome

We investigated the longitudinal stability of hand function in Rett syndrome and to analyze further the relationships between stability of hand function and genotype, age, and walking ability. Study design: Longitudinal video data of functional abilities of individuals with genetically confirmed Rett syndrome were collected by families of individuals registered with the Australian Rett Syndrome Database.

Does machine learning have a role in the prediction of asthma in children?

Asthma is the most common chronic lung disease in childhood. There has been a significant worldwide effort to develop tools/methods to identify children's risk for asthma as early as possible for preventative and early management strategies. Unfortunately, most childhood asthma prediction tools using conventional statistical models have modest accuracy, sensitivity, and positive predictive value.